Did Amazon Strike A 5 Billion XRP Deal With Ripple? Expert Answers

bitcoinistPubblicato 2025-12-13Pubblicato ultima volta 2025-12-13

Introduzione

Crypto expert Crypto Sensei addressed rumors of a $5 billion XRP deal between Amazon and Ripple, clarifying there is no public evidence or official announcement to support this claim. The speculation emerged from discussions about Ripple's broader goal to use XRP for the global derivatives market, beyond cross-border payments. While Amazon's AWS did partner with Ripple in 2020 for its rewards program, no new deal has been confirmed. Ripple's CTO also denied Amazon holds significant XRP. In other news, Hex Trust partnered with LayerZero to launch wrapped XRP (wXRP) on multiple networks, starting with Solana, to enhance liquidity and DeFi utility. XRP is currently trading around $2.03.

Crypto expert Crypto Sensei has drawn attention to rumors that Amazon struck a 5 billion XRP deal with Ripple. The expert explained what the deal is really about and what Ripple’s end goal is using the altcoin.

Expert Clarifies Rumors Of Amazon’s 5 Million XRP Deal With Ripple

In an X post, Crypto Sensei addressed whether rumors that Amazon struck a 5 million XRP deal with Ripple were true. The rumors surfaced as Kendra Hill claimed that Ripple’s endgame is to run the entire derivatives market using the altcoin and that the cross-border transactions are simply a test.

Related Reading: XRP Rising Against All Odds: Ripple CEO Celebrates These Achievements

However, Crypto Sensei noted that there is no public evidence of Ripple’s 5 million XRP deal with Amazon and that there has been no public announcement from the crypto firm. As such, the expert remarked that this rumored deal remains pure community speculation.

Meanwhile, he explained that Hill’s core claim was that cross-border payments are just a testing ground and that Ripple ultimately intends to use XRP to process 100% of the transactions on the global derivatives market. Notably, the global derivatives market is said to be a trillion-dollar industry, meaning this move could boost adoption significantly.

Meanwhile, as to how a rumored Amazon relates to this, Crypto Sensei explained that a screenshot of an old Amazon partnership had resurfaced. Furthermore, Hill had allegedly claimed that another partnership between the two firms has yet to be revealed. Amazon’s AWS had, in 2020, revealed that it was integrating Ripple’s payment system for its rewards program.

Crypto Sensei also mentioned that Ripple’s CTO, David Schwartz, has stated that there is no evidence that Amazon owns this amount of XRP. There is also no evidence on the XRP Ledger that the company holds this amount in escrow.

Major Adoption News For The Token

In an X post, Hex Trust announced a partnership with LayerZero to launch wrapped XRP (wXRP) across multiple networks, starting with the Solana network. This is expected to boost the altcoin’s adoption as it gains new holders and new liquidity flows into it. Hex Trust noted that the wXRP is designed for DeFi use across these networks.

Related Reading: Ripple Secures 4 Groundbreaking Wins That Mark An Exciting Phase For XRP

The firm has launched this Wrapped XRP with over $100 million in Total Value Locked (TVL). Hex Trust also explained that the wrapped token’s utility is that it makes it easy to trade XRP alongside Ripple’s RLUSD stablecoin as a trading pair on supported chains. As such, the firm believes this move could expand liquidity and utility between XRP and RLUSD. Notably, there are also plans to launch this wrapped token on Ethereum soon.

At the time of writing, the XRP price is trading at around $2.03, up in the last 24 hours, according to data from CoinMarketCap.

XRP trading at $2.03 on the 1D chart | Source: XRPUSDT on Tradingview.com

Letture associate

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

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Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

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3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

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